open-pathology / awesome-pathology
Awesome List of Digital and Computational Pathology Resources
☆35Updated last month
Alternatives and similar repositories for awesome-pathology:
Users that are interested in awesome-pathology are comparing it to the libraries listed below
- Solid Tumor Associative Modeling in Pathology☆62Updated 2 weeks ago
- Multimodal prototyping for cancer survival prediction - ICML 2024☆73Updated last week
- GrandQC tool for tissue detection and quality control in pathology☆30Updated last month
- Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)☆67Updated last year
- ☆49Updated last year
- Artificial Intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology images☆20Updated 7 months ago
- Re-stained whole slide image alignment☆32Updated last year
- Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024☆117Updated last week
- Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.☆35Updated 2 months ago
- MADELEINE: multi-stain slide representation learning (ECCV'24)☆44Updated 2 weeks ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆51Updated 2 years ago
- Pipeline for computational pathology☆34Updated last year
- Transcriptomics-guided Slide Representation Learning in Computational Pathology - CVPR 2024☆92Updated 4 months ago
- Histopathology Slides Preprocessing Pipeline☆36Updated 3 months ago
- A Python package for handling histopathology whole-slide images using multiple instance learning (MIL) techniques.☆28Updated 9 months ago
- Gpu accelerated vahadane stain normalization for Digital Pathology workflows.☆24Updated last year
- Inference code for HoVer-NeXt☆29Updated 3 weeks ago
- ☆36Updated 2 years ago
- This repo provides the pipeline of processing TCGA whole-slide images for downstream pathology analysis.☆61Updated 2 months ago
- Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis☆24Updated 10 months ago
- This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings…☆36Updated 6 months ago
- One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification☆80Updated 3 months ago
- [The Lancet Digital Health, MICCAI2020 Oral] The official code of "Spatially-aware Graph Neural Networks and Cross-level Molecular Profil…☆26Updated last year
- A vision language model for gigapixel whole slide images in histopathology☆36Updated 5 months ago
- Analysis of 3D pathology samples using weakly supervised AI - Cell☆97Updated last month
- First commit☆61Updated 2 years ago
- ☆19Updated last year
- DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs☆54Updated 3 months ago
- ☆52Updated 3 years ago
- ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…☆64Updated 2 years ago